根本、言数及其综通

根本立足于字符的构造性,言数内在于义理的形象性,综通企慕于文献的全息性。微观上心细如针,宏观上仰望星空,根本综通的优长在此。为了发掘其精微,《文本语根综通研究》对200个单音形符进行了探讨,《根本的综通:解构遭遇昆仑》对109个双音义符进行了研究。在言数根本的文字、文史与理论视野下,论文解剖了"面""二""三""五"等字符的综通意义。在21世纪第二个十年的制高点上感悟"解构遭遇昆仑",在本源和学科互为犄角上把握"以面命之",在综通和遥相呼应意义上阐释"兼三才而两之",在追溯文本为何的意义上呼唤《说文解字》和《九章算术》的比较研究,在中国元素的立场上深入于智慧、无名之和而不同,在"究天人之际"于文本、"通古今之变"于语根意味上呼唤学术的进步。

试析古人的“言数”观念——兼及古代诗歌创作格局的形成

言数是诗体特征的重要标识,早期的诗体演进和诗体分类皆瞩目于言数,因此在古人对诗体形态特征进行审视时,最先关注的也正是言数问题。他们通过对各言句例的梳理和各言句特征的比较,不但将诗句的最佳长度限定在"三言"和"七言"之间,而且还意识到了偶数句板滞难调的缺陷。透过古人对各言句的论述我们可以更深入理解古代五、七言为主体的诗歌创作格局,同时通过古人创作中实际的诗体选择,也能反过来验证古人的"言数"观念。此外,言数问题还进一步引申出对齐言诗与长短句的正变比较,它虽不直接关系到"言数"观念,但却仍是一个与言数有关的诗体形态问题。

Method based on fuzzy linguistic scale and FIOWGA operator for decision-making problems

In this paper, we present a fuzzy linguistic scale, which is characterized by triangular fuzzy numbers on [1/9, 9], for the comparison between two alternatives, and introduce a possibility degree formula for comparing triangular fuzzy numbers. We utilize the fuzzy linguistic scale to construct a linguistic preference matrix, and propose a fuzzy induced ordered weighted geometric averaging (FIOWGA) operator to aggregate linguistic preference information. A method based on the fuzzy linguistic scale and FIOWGA operator for decision-making problems is presented. Finally, an illustrative example is given to verify the developed method and to demonstrate its feasibility and effectiveness.

Classification methods of association rules with linguistic terms

A partition of intervals method is adopted in current classification based on associations (CBA), but this method cannot reflect the actual distribution of data and exists the problem of sharp boundary problem. The classification system based on the longest association rules with linguistic terms is discussed, and the shortcoming of this classification system is analyzed. Then, the classification system based on the short association rules with linguistic terms is presented. The example shows that the accuracy of the classification system based on the association rules with linguistic terms is better than two popular classification methods: C4.5 and CBA.

An analysis method of topological relations between Snort rules

It is difficult to knowall the relations between Snort rules. To deal with this problem, the topological relations between Snort rules are classified based on the set theory, and a method for calculating the topological relations between Snort rules is proposed. In the existing methods for analyzing the relations of Snort rules, the relations are usually determined only according to the header information of the Snort rules. Without considering the actions of Snort rules, the proposed method improves upon the existing methods and it can classify and calculate the topological relations between Snort rules according to both headers and options information of Snort rules. In addition, the proposed method is implemented by the functional language Haskell. The experimental results showthat the topological relations between Snort rules can be calculated rapidly and effectively. The proposed method also provides an important basis for conflict detection in the succeeding Snort rules.

Processing and optimization of UMQL-based multimedia queries

Through the mapping from UMQL （ unified multimedia query language） conditional expressions to UMQA （unified multimedia query algebra） query operations, a translation algorithm from a UMQL query to a UMQA query plan is put forward, which can generate an equivalent UMQA internal query plan for any UMQL query. Then, to improve the execution costs of UMQA query plans effectively, equivalent UMQA translation formulae and general optimization strategies are studied, and an optimization algorithm for UMQA internal query plans is presented. This algorithm uses equivalent UMQA translation formulae to optimize query plans, and makes the optimized query plans accord with the optimization strategies as much as possible. Finally, the logic implementation methods of UMQA plans, i.e., logic implementation methods of UMQA operators, are discussed to obtain useful target data from a muifirnedia database. All of these algorithms are implemented in a UMQL prototype system. Application results show that these query processing techniques are feasible and applicable.

A group decision making method based on double hesitant linguistic preference relations

A simple decision method is proposed to solve the group decision making problems in which the weights of decision organizations are unknown and the preferences for alternatives are provided by double hesitant linguistic preference relations. First, double hesitant linguistic elements are defined as representing the uncertain assessment information in the process of group decision making accurately and comprehensively, and the double hesitant linguistic weighted averaging operator is developed based on the defined operational laws for double hesitant linguistic elements. Then, double hesitant linguistic preference relations are defined and a means to objectively determine the weights of decision organizations is put forward using the standard deviation of scores of preferences provided by the individual decision organization for altematives. Finally the correlation coefficient between the scores of preferences and the scores of preferences are provided by the other decision organizations. Accordingly, a group decision method based on double hesitant linguistic preference relations is proposed, and a practical example of the Jiudianxia reservoir operation alternative selection is used to illustrate the practicability and validity of the method. Finally, the proposed method is compared with the existing methods. Comparative results show that the proposed method can deal with the double hesitant linguistic preference information directly, does not need any information transformation, and can thus reduce the loss of original decision information.

Comparisons of three data storage models in parametric temporal databases

The parametric temporal data model captures a real world entity in a single tuple, which reduces query language complexity. Such a data model, however, is difficult to be implemented on top of conventional databases because of its unfixed attribute sizes. XML is a matured technology and can be an elegant solution for such challenge. Representing data in XML trigger a question about storage efficiency. The goal of this work is to provide a straightforward answer to such a question. To this end, we compare three different storage models for the parametric temporal data model and show that XML is not worse than any other approaches. Furthermore, XML outperforms the other storages under certain conditions. Therefore, our simulation results provide a positive indication that the myth about XML is not true in the parametric temporal data model.

The Solvable Lie Algebras with Filiform R_n Nilradicals

In this paper we explicitly determine automorphism group of filiform Lie algebra Rn to find the indecomposable solvable Lie algebras with filiform Lie algebra Rn nilradicals.We also prove that the indecomposable solvable Lie algebras with filiform Rn nilradicals is complete.

Risk factors and prediction score for chronic pancreatitis: A nationwide population-based cohort study

AIM To explore the risk factors of developing chronic pan-creatitis （CP） in patients with acute pancreatitis （AP） and develop a prediction score for CP.METHODS Using the National Health Insurance Research Database in Taiwan, we obtained large, population-based data of 5971 eligible patients diagnosed with AP from 2000 to 2013. After excluding patients with obstructive pancreatitis and biliary pancreatitis and those with a follow-up period of less than 1 year, we conducted a multivariate analysis using the data of 3739 patients to identify the risk factors of CP and subsequently develop a scoring system that could predict the development of CP in patients with AP. In addition, we validated the scoring system using a validation cohort.RESULTS Among the study subjects, 142 patients （12.98%） developed CP among patients with RAP. On the other hand, only 32 patients （1.21%） developed CP among patients with only one episode of AP. The multivariate analysis revealed that the presence of recurrent AP （RAP）, alcoho-lism, smoking habit, and age of onset of 〈 55 years were the four important risk factors for CP. We developed a scoring system （risk score 1 and risk score 2） from the derivation cohort by classifying the patients into low-risk, moderate-risk, and high-risk categories based on similar magnitudes of hazard and validated the performance using another validation cohort. Using the prediction score model, the area under the curve （AUC） [95% confdence interval （CI）] in predicting the 5-year CP incidence in risk score 1 （without the number of AP episodes） was 0.83 （0.79, 0.87）, whereas the AUC （95%CI） in risk score 2 （including the number of AP episodes） was 0.84 （0.80, 0.88）. This result demonstrated that the risk score 2 has somewhat better prediction performance than risk score 1. However, both of them had similar performance between the derivation and validation cohorts.CONCLUSIONIn the study,we identifed the risk factors of CP and devel-oped a prediction score model for CP.

Prediction of overbreak depth in Ghalaje road tunnel using strength factor

It is well known that the overbreak caused by the blasting damage during tunnel excavation increases costs associated with filling the collapsed area with shotcrete and results in filing of a claim by the contractor. This paper outlines a new approach for prediction the overbreak depth during tunnel construction. Hence, firstly excavation damage zone(EDZ) are determined by average specific charge in each zone. Numerical modelling is used to simulate the EDZ around tunnel boundary and the overbreak depth are calculated by the rock strength factor. The predicted overbreak depth compared with observed field data from a case study. The results show that there exists an approximately up to 40% difference between the prediction and the observed volume of overbreak depth. Therefore, the method can be well used to predict the overbreak depth to estimate more precision of shotcrete and concrete volumes in tunnelling cost during design phase.

Spanish Last Names in the Naples Periphery

The purpose of this study is to shed light on the southern part of Italy where Catalonians ruled. Great numbers of Spaniards, principally the Catalonians, headed to that country. This affected the language, and, in turn, the history of people＇s last names. At first, some of the Spanish last names were used as nicknames for Italians. The method 1 used to get the data from primary sources was from spending time in Italy for four consecutive summers and visiting towns in the Naples area while I collected surnames found on houses. The Catalonians came to rule Sardinia, and their language and subsequently Spanish were official on the island. The linguistic influence of Spanish does not stop with surnames. A list of Spanish and Basque surnames which is redolent of the history of southern Italy and Sicily is appended. The geolinguistics interest lies in the way that the study of language, both ordinary words and proper nouns, offers important clues to the lives and movements of people of ages past, reflects political and economic aspects and also explains the ethnic origin of people who live in Sicily and Italy today or are descendants of Italians who have been important immigrants in the Americas, in Australia, and indeed around the world.

Design of Roof Cover Structures by Help of Numerical Models Defined in Formian

Numerical models defined by means of a suitably assumed set of parameters make it possible to select the optimal structural solution for the given or assumed conditions. The paper presents examples of applications of numerical models defined in the programming language Formian during the shaping processes of various types of spatial structural systems designed for roof covers. These types of numerical models can be relatively easily adapted to the requirements, which can be frequently changed during the investment process, what makes possible a considerable reducing of costs and time of design of the space structures having even the very complex shapes. The advantageous features of application of numerical models defined in Formian are presented in models determined for selected forms of the roof covers designed also by means of a simple type of a space frame. In the paper, there are some presented visualizations made on bases of these models defining mainly for structural systems developed recently by the author for certain types of the dome covers. The proposed structural systems are built by means of the successive spatial hoops or they are created as unique forms of the geodesic dome structures.

Headedness in Yorǘhbá： An Examination of the Deviant Value of Determiner Phrase

The issue of ＂headedness＂ is a product of Chomsky＇s （1988） notion of UG （Universal Grammar） that led to the development of a framework known as P＆P （Principles and Parameters） theory. It is this theory we have adopted for our analysis in this paper. The purpose of this paper is to examine the inconsistency in the value of Head Parameter with reference to the value of DP （determiner phrase） in Yorfib^i. As a native speaker of Yorfib~, the author has adopted an introspective method of data collection and used the intuitive knowledge of other native speakers of the language for necessary clarifications. Despite the fact that English and Yorfib~ are both head-initial, the structure of the NPs （noun phrases） in English shows that the head noun is always pre-modified, making the NP ＂head-final＂--a violation of the value of Head Parameter in the language. This necessitated the need for Abney＇s （1987） DP hypothesis; in which the determiner heads its own phrase, thereby making a NP in English head-initial. This solves the problem of Head Parameter in English. However, since nouns in Yor/lb^i are post-modified, adopting ＂DP-analysis＂ will automatically produce head-final--a violation of the value of Head Parameter in the language. Given the inconsistency in the specification of head-complement order among the noun phrases in English and Yorfib~, this paper proposes to set a parameter for SVO （Subject-Verb-Object） languages with pre-modification （like English） to adopt ＂DP-analysis＂, and those with post-modification （like Yorfib^t） to adopt ＂NP-analysis＂. This will ensure ＂head-initial＂ value for the two categories of SVO languages

Research on Prediction of Ship Manoeuvrability

Based on the manoeuvring MMG （Mathematical Modeling Group） and the Runge-Kutta Method, a mathematical model for simulation of ship manoeuvrability is established. On this basis, a prediction program is compiled on platform Visual Basic 6.0. The turning motion, Zig-zag and crash stopping ability of a container ship are simulated by this program. Compared with the model test results, the error is less than 10%. In view of the admissible accuracy, the program is capable of predicting ship manoeuvrability.

Linguistic Truth Values Lattice Implication Algebras

In order to study uncertainty reasoning and automatic reasoning with linguistic terms, in this paper, the set of basic linguistic truth values and the set of modifiers are defined, according to common sense; partially orderings are defined on them. Based on it, a lattice implication algebra model L18 of linguistic terms is built; furthermore, its some basic properties are discussed.

Prediction model of slurry pH based on mechanism and error compensation for mineral flotation process

A suitable pH value of the slurry is a key to efficient mineral flotation. Considering the control delay problem of pH value caused by offline pH measurement, an integrated prediction model for pH value in bauxite froth flotation is proposed, which considers the effect of ore compositions on pH value. Firstly, a regression model is obtained for alkali(Na_2CO_3) consumed by the reaction between ore and alkali. According to the first-order hydrolysis of the remaining alkali, a mechanism-based prediction model is presented for the pH value. Then, considering the complexity of the flotation mechanism, an error prediction model which uses time series of the error of the mechanism model as inputs is presented based on autoregressive moving average(ARMA) method to compensate the mechanism model. Finally, expert rules are established to correct the error compensation direction, which could reflect the dynamic changes during the process accurately and effectively. Simulation results using industrial data show that the presented model meets the needs of the industrial process, which laid the foundation for predictive control of pH regulator.

Learn a rich foreign language research on teaching voice Chinese language of minority

Foreign teaching and Chinese language teaching of minority are two different forms of teaching in nature, both the nature and the system of teaching are different, but in the teaching objectives, content, principles, methods, and therefore there are many similarities, so two studies outcomes can learn from each other. In this paper, with voice teaching as an example, we will talk about foreign language studies in ethnic minority Chinese Teaching. I think, in the teaching program design, the teaching Chinese minorities can learn from the simplified idea of teaching phonological Mr. Zhao Jin ruing, which is proposed foreign teaching Chinese, to simplify Voice teaching. In teaching principles, we should emphasize specific principles, instructional design based on students＇ different characteristics. In the teaching content, teaching should not only pay attention phonetic syllables within the system, but also more emphasis on syllables voice level teaching, especially teaching speech flow. In teaching methods, we should learn teaching, research tone, softly and so on.

Spatial Data Process Using Python Script and Visual Programming Language in ArcGIS

Data are limitless. But those are usually not formed or created in our needs. Most of data providers deliver their data in Microsoft Excel spreadsheet, which is compatible with ArcGIS, the most widely used GIS （Geographic Information System） software in GIS sector. However, those table data contain much unnecessary information that do not need for a certain project. Using the raw data can increase processing times and reduce performance of geoprocessing tools. This study shows steps of how the raw data are being processed using ArcGIS ModelBuilder and Python script.

Prediction of rotary drilling penetration rate in iron ore oxides using rock engineering system

Prediction of the drilling penetration rate is one of the important parameters in mining operations. This parameter has a direct impact on the mine planning and cost of mining operations, Generally, effective parameters on the penetration rate is divided into two classes： rock mass properties and specifications of the machine, The chemical components of intact rock have a direct effect in determining rock mechan- ical properties, Theses parameters usually have not been investigated in any research on the rock drill- ability, In this study, physical and mechanical properties of iron ore were studied based on the amount of magnetite percent, According to the results of the tests, the effective parameters on the pen- etration rate of the rotary drilling machines were divided into three classes： specifications of the machi- nes, rock mass properties and chemical component of intact rock, Then, the rock drillahility was studied using rock engineering systems, The results showed that feed, rotation, rock mass index and iron oxide percent have important effect on penetration rate, Then a quadratic equation with 0,896 determination coefficient has been obtained, Also, the results showed that chemical components can he described as new parameters in rotary drill penetration rate,